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Record W4380228903 · doi:10.1515/9780773575301-005

Introduction

2008· book-chapter· en· W4380228903 on OpenAlexaboutno aff
John A. Dickinson, Brian Young

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2008
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This work interprets Quebec history in a socio-economic framework, based on a re-evaluation of the traditional periodization.It is part of an ongoing historiographical debate in Quebec.Ronald Rudin (1992) has suggested that we, along with other "revisionist" intellectuals, have played down the influence of Catholicism in favour of emphasizing materialist factors and Quebec's "normality" as a North American society.We certainly see economic conditions, class, gender, and race as central to the Quebec experience, but we hope that the reader will see that this work also gives full treatment to the place of ethnicity and religion in Quebec society, and insists on Quebec's distinctness.Regionalism is important in Quebec.Life in the Gaspé and on the Montreal plain, for example, has always been very different.Variations in dialect, economy, and social structure differentiate the francophone populations of the Saguenay, the Eastern Townships, and the Ottawa Valley.At the same time, the worker in the snowmobile factory in Valcourt is separated by profound class differences from members of the Bombardier family, although they share a similar cultural heritage.Ethnic and cultural differences, the structure of capitalism, and the particularity of a metropolis have increasingly set Montreal apart from the other regions of the province.Social history, with its emphasis on long-term evolution in social and economic relations, and feminist history with its questioning of traditional political categories, have caused historians to reflect on periodization -the division of history into periods.Without denying the importance of political events such as the Conquest or Confederation, we have subordinated them to a socio-economic framework that E a s t e r n T o w n s h i p s Hudson Bay Ungava Bay

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.450
Threshold uncertainty score0.906

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.002
Scholarly communication0.0070.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3790.094

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.189
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooks→Same topicCanadian Identity and History→French-language works237,207→